INSTRUCTION.md

Instruction

Install all dependencies and create env

• Use python 3.9

• If you have anaconda then create environemnt using conda

# To create conda environment run below command
conda create -n "diverse" python=3.9

# activate conda environemnt
conda activate diverse

• if not create using local python installation by installing python 3.9 version

• then create environment using below command

python -m venv venv

# activate the environment using below command
# in powershell
./venv/Scripts/Activate.ps1

# in unix system (macos, linux)
. ./venv/bin/activate

• after then check if correct version

# verify python version if it 3.9 or not 
python --version

# install requirements for project
pip install -r requirements.txt

# install extra dependencies
pip install torch==1.10.0+cu113 torchvision==0.11.1+cu113 --index-url https://download.pytorch.org/whl/cu113

To Train Chico model

For Chico dataset

NOTE: Train VAE First use below command to train VAE

python motion_pred/exp_vae.py --cfg chico_nsamp10

NOTE: Train DLow (After VAE is trained)

python motion_pred/exp_dlow.py --cfg chico_nsamp10

Test

Visualize Motion Samples

python motion_pred/eval.py --cfg chico_nsamp10 --mode vis

Useful keyboard shortcuts for the visualization GUI:

Key	Functionality
d	test next motion data
c	save current animation as out/video.mp4
space	stop/resume animation
1	show DLow motion samples
2	show VAE motion samples

Compute Metrics

python motion_pred/eval.py --cfg chico_nsamp10 --mode stats